|
|
||||||||
HOW WE TEACH
Biology Department, Angelo State University, ASU Station, San Angelo, Texas 76909
| Abstract |
|---|
|
|
|---|
Key words: achievement; motivation; self-efficacy; college science teaching; Solomon four-group design
| Introduction |
|---|
|
|
|---|
Active learning is based on social cognitive theory and constructivism; however, there is a lack of continuity in the research literature on how "active learning" is defined (9, 10, 14, 28). This author uses the definition from Bonwell and Eison (9) that, "active learning involves students doing things and thinking about the things they are doing." In general, this includes 1) involving the students in the learning process, 2) placing less emphasis on transmitting knowledge and more on developing students science process skills, 3) involving students in higher-order thinking skills, 4) engaging students in activities, and 5) placing a greater emphasis on students own exploration of their attitudes, values, and beliefs about learning. As defined, active learning is predicted to produce meaningful learning, improve attitudes toward learning and science, increase knowledge and retention, and foster community among students, as well as motivate them to become self-regulated, independent learners (7, 14, 16, 38). Active learning also promotes higher-level learning by 1) advancing the view that science is a process and not a set of facts to memorize, 2) promoting a belief in the students own ability to learn about the subject (self-efficacy), 3) shifting the responsibility of learning away from the instructor and to the student, and 4) giving more value to the learning experience because the learner has done the work rather than being given the answer (3, 10, 28, 50).
Despite the promise of active learning, college science teaching has been resistant to such changes in pedagogy, relying on more traditional didactic means of instruction (1, 11, 23). In the literature, numerous reasons have been cited as barriers to pedagogical changes. For faculty, trying something new creates feelings of uneasiness and lack of confidence, not to mention the fact that faculty usually have few incentives to change their teaching styles (9, 26, 33). Students and faculty also share similar expectations about one anothers role in the classroom. Faculty are comfortable lecturing and view it as an effective means of transmitting information, whereas students come to expect faculty to be good lecturers (18, 27). Students are also resistant to change in the classroom, citing that they feel cheated or short-changed of content material if not lectured to (17). Faculty have also cited that, with active learning, they cannot cover as much content in the time available, that it takes increased course preparation time, or that they simply lack educational training. They also state that large classes prohibit active learning and that materials are lacking to support it (9).
This study investigates the use in the college science classroom of a continuum-based, active-learning model that addresses these barriers and investigates its effectiveness on learning outcomes. The primary objectives of the study were to determine whether an active-learning teaching strategy could improve students achievement (ability to acquire content knowledge and application skills as defined by their performance on a comprehensive physiology content exam), motivation, and self-efficacy vs. that of a traditional lecture format.
| METHODS |
|---|
|
|
|---|
Experimental Design and Procedure
Because students self-select into courses on the basis of personal choice, subjects could not be randomly assigned to treatment or control groups, nor could equal numbers of students be enrolled in each section. This limitation was addressed by using a "quasi-experimental" design, as outlined by Campbell and Stanley (12) and Cook and Campbell (13). Quasi-experimental designs assume that subjects cannot be randomly assigned to treatment or control groups, and thus groups may be unequal as far as students gender, major, ability, background, etc. (the classes themselves were, however, randomly selected as treatment or control groups). The experimental design and analysis chosen, the Solomon four-group design (12), attempts to account statistically for any dissimilarities between treatment and control groups, but this is indeed a limitation of quasi-experimental designs.
The Solomon four-group design involves assignment of subjects to four groups. Two of the groups are pretested, and two groups are not. One of the pretested groups and one of the unpretested groups are subjected to the experimental treatment. The other two groups serve as controls. All four groups are then posttested (12) (Table 1).
|
Three instructors who were involved in the study had more than 20 years of combined college teaching experience with the course. In an attempt to control for teacher effect, two were each assigned a treatment group and a control group. The third instructor was assigned a treatment group only. To avoid potential biases from the exclusion of this section from the study, data were collected from a fifth class but were not used in subsequent analyses. To minimize the possible influence of variation in pedagogical styles among the three instructors, weekly meetings and daily e-mail correspondences were held to ensure constancy in content objectives (established a priori), depth of content coverage, and accurate implementation of the active-learning strategies. Course structure variables such as the text, content, grading, and exam formats were held constant and were based on content objectives.
Data were collected from the following instruments:1 a modified, comprehensive physiology content exam (19, 29), the Motivated Strategies Learning Questionnaire (MSLQ) (42), and an instructor-designed attitude survey. To determine the effectiveness of active learning on students achievement, motivation, and self-efficacy, the posttest scores (means) of the comprehensive physiology content examination and the means of the scales and subscales of the MSLQ were statistically analyzed for differences between the groups using 2 x 2 factorial designs.2 Attitude survey data were analyzed using descriptive statistics and independent-samples t-tests.
-Levels were set a priori at P = 0.05. The instruments were all administered during the third week of class and one week before the students final exam.
To control for the Hawthorne effect, all students were required to buy a student workbook, which served as a template for basic course content, lecture notes, and review problems. This student workbook mirrored the textbook and is available commercially (48). The study was limited to a 15-week semester, as this represents the average course length offered at the institution. The study considers students achievement in the lecture, but not laboratory, portions of the course. This limitation is necessary because, although participating students are enrolled in corresponding laboratories, the laboratories were taught by a variety of instructors who were not participants in the study.
Subject Profile
A total of 200 students in human physiology were initially included when this study was initiated. However, due to an attrition rate that was not unexpected in this subject area, only 141 completed all requirements of the study. Because instruments were administered on different days (MWF vs. TTh) at the beginning and end of the study due to scheduling and because some students were absent on the days the instruments were given, the numbers of students who took the pretest and posttests varied between sections. These numbers were statistically accounted for by the analytical procedures used.
The number of students who completed the study in the treatment groups included 70 students. In this group, 62.90% were female, and 37.10% were male. By academic classification, seniors comprised the majority of students in this group, at 34.29% with sophomores second at 30.00%. The remainder of the students were classified as juniors (22.86%), freshman (7.14%), and post-baccalaureate (5.71%). The two most popular majors in the treatment group were kinesiology (32.86%) and nursing (24.29%). Majors classified as "other" were third (15.70%). This category included majors such as elementary education, marketing, management, mathematics, early childhood, and chemistry and those students who were undeclared majors. Biology majors (14.29%) and psychology majors (12.86%) comprised the rest of the students.
A total of 71 students participated in the control groups. Like the treatment group, most of the students in this group were female (53.5%), with fewer males (46.5%), and the majority were classified as seniors at 40.85% (see Table 7.2). After the seniors, most students were juniors (29.57%), followed by sophomores (22.54%), freshmen (5.63%), and post-baccalaureates (1.41%). Kinesiology (50.70%) and psychology (19.72%) were the most popular majors in the control group, followed by nursing (15.49%), biology (11.27%), and those classified as "other" (2.82%).
Treatment and Control Groups
Students enrolled in human physiology are instructed in material concerning normal cell physiology to overall normal operation of the bodys tissue, organs, and organ systems. The primary objective of the course is to have students be able to describe and explain the normal function of the cells, tissues, organs, and organ systems of the human body (i.e., gain content knowledge and comprehension). The course content was the same for all classes participating in the study. Other course structure variables, such as the syllabus, text, content, grading procedures, and exam structure/formats, were held constant and did not deviate from previous course structure. The control groups were taught using the traditional, didactic lecture method of instruction (i.e., students listened as the instructor lectured on the content). The treatment groups were taught using a modified active-learning template/lesson plan that is based on an active-learning continuum (10, 20) (Table 2).
|
|
At the beginning of the semester, the researchers implemented "lower-risk" active-learning strategies (e.g., the pause procedure, minute papers, think-pair-share, and classroom assessment techniques). Lower-risk refers to the fact that the activities were rigorously structured, requiring little involvement from the students and little planning and/or loss of control from the instructor. For example, the initial activities included short, structured activities with explicit instructions, involving the students as individual learners (e.g., no interaction between the students and instructor centered). This initial lower-risk approach required little commitment from the student as regards oral participation. In other words, it did not require them to voluntarily or involuntary provide verbal feedback to the instructor. Students simply provided anonymous, written feedback to the instructor, as prescribed by the individual activities. This technique was used primarily to monitor student comprehension and understanding and provide written feedback to the instructor, who then relayed the information back to the students (4, 8, 10, 25, 26, 33). Toward the end of the first half of the semester, students formed informal learning groups with students in their immediate vicinity of two to four students each to share in the activities mentioned above (20). Students now shared information and tasks with each other on a voluntary basis. Students were also encouraged by the instructor to meet with different students during these informal learning opportunities.
Toward the end of the semester, more complex "higher-risk" activities were introduced (e.g., think-pair-share, simplified inquiry, and case studies). Higher-risk activities were those that were less structured, involved more interaction on behalf of the students, and required more planning by the instructor, who theoretically had less control in the classroom when these were used. Students worked in informal, cooperative learning groups of two to four each to solve problems, answer inquiry-type questions, analyze case studies, and discuss articles or common experiences among themselves and with the class as a whole. These activities were designed to promote the application of physiology content knowledge and make the content relevant to the students own academic majors. As the activities became more complex, the duration of the lecture segments shortened, and the duration of the activities lengthened proportionally as needed in the basic active-learning lecture template.
The active-learning lecture was used once a week in the treatment classes, beginning with the second class day. This model and frequency were chosen because previous pilot studies indicated that students are resistant to active learning on a daily basis when active strategies are used almost exclusively over lecture but accept active-learning strategies when used less frequently in combination with more didactic means. Results of the pilot studies indicated that using active learning just four times during the semester for a total of one hour and twenty minutes worth of instruction was enough to produce significant results in favor of active-learning strategies. The other class days were spent in the traditional format, allowing for a total of 15 days spent in active learning out of 30 total class days in the semester. The activities themselves did not contribute in any way to the students overall course grades but only served as a means of feedback for students.
| RESULTS |
|---|
|
|
|---|
Comprehensive Physiology Content Exam Performance
The comprehensive physiology content exam included 87 multiple-choice questions designed to measure students recall, comprehension, and application of human physiology content knowledge. This exam was analyzed statistically to determine whether the experimental intervention had affected students academic achievement as measured by the exam. The means ± SD for the students performance on the comprehensive physiology content exam are shown in Table 4.
|
|
|
|
|
|
Beginning of the semester.
To explore student self-efficacy toward physiology and attitude toward instruction, physiology, and course components and to avoid the potential biases associated with unequal pretesting in the different groups before the experiment, a 25-item instrument was constructed and administered to all groups at the beginning of the semester. The results of this attitude survey are expressed as a percentage of the total number of students who responded to the survey and appear in Table 10. Most students reported that they enjoy activities performed in class, like group discussions and interacting with others, and learn more from doing than from listening.
|
|
|
|
Control Group.
Students in the control groups indicated that in general active learning would be a good addition to human physiology . They also indicated that lectures were boring and that they would not choose a straight lecture course over an active learning course if given the opportunity in the future. Most students also reported that human physiology was too difficult for them, but that the course components did help them to learn and understand the material (Table 12).
Treatment vs. control groups.
Pairwise comparisons using independent samples t-tests were used to test for significant differences between the treatment and control groups on those attitude survey items that were identical. The items are numbered for convenience and do not reflect their rank from the surveys which were randomly ordered (Table 13). Significant differences were found in items 2, 3, 4, and 10. This indicates that students in the treatment groups were much more comfortable interacting with each other and with the instructor than those students in the control groups for items 2, 3, and 4. Of interest is item 10, "Physiology is too hard for me," in which there was a significant difference between the treatment and control groups. More students in the treatment groups reported that they disagreed with the statement than did those students in the control groups (t = -2.05; P = 0.042). This statement concerns students self-efficacy with regard to human physiology, which confirms earlier findings that self-efficacy differed significantly between the treatment and control groups.
| DISCUSSION |
|---|
|
|
|---|
An explanation for this finding should be sought in the theoretical basis for active learning and the justification for the use of a variety of strategies over the course of the semester. Because active-learning strategies are encompassed within the realm of constructivist thinking, it is easy to predict why these continuum-based, active-learning strategies produced these results. Constructivist teaching engages students in activities, encourages them to think and reflect on their learning experience, considers their prior knowledge, and provides feedback during the learning process (36, 55). Studies show that a constructivist approach to teaching produces positive outcomes of learning, including achievement (55). The active-learning strategies used in this study incorporated these tenets by providing students with the opportunity to engage in listening, reading, writing, discussing, reflecting, and problem solving in the classroom. By use of an active approach to teaching and learning, the results on students achievement were positive. Students in the lecture-only classes did not have these opportunities.
Active learning strategies in this study did lead to an improvement in students content achievement. The implications of this finding are that active learning can produce the desired achievement results even when content coverage is reduced. Other researchers have reported that, when content coverage was decreased in a nonmajors college biology course, students achievement scores and attitudes toward science were statistically better than those of biology majors whose achievement on the same content and attitudes toward science were lower (49). This study adds to the mounting evidence that "less is more," and should come as encouragement to instructors in content-intensive disciplines who are hesitant to incorporate active learning in their classrooms. Content coverage is often the bane of college science teaching where the thought is that students will not learn the content if it is not addressed by way of lecture. To hold onto this thought may actually deprive students of actual content knowledge. With minimal preparation and "risk" to the students and to the instructors themselves, active learning in the context of this study can produce the desired achievement results.
Motivation
The use of active-learning strategies in a human physiology course did not result in an increase in students motivation. The theoretical basis for active learning and studies from the literature report that active learning can increase student motivation by generating student interest, which translates into meaningful learning and task value (14, 21, 28, 37, 55). In seeking an explanation for these results, it may be relevant to consider the theoretical basis for motivation, the method in which it was measured, the nature of the material being learned, and the learners themselves.
Motivation was defined by this study from a general social-cognitive model of motivation that incorporates three motivational constructs: value, expectancy, and affect (37, 38). The value and affective components were measured by the MSLQ to ascertain whether changes in these constructs occurred as a result of instruction. The value component of the MSLQ motivation scale measures students judgments of how interesting, useful, and important the course content is along with a measure of how they focus on learning (mastery vs. performance orientation) (40). Nonscience majors often claim that science courses are uninteresting and lacking in meaning and relevance, so the active-learning strategies were designed to help facilitate student interest (44, 52). However, activities designed to enhance student interest (simplified inquiry and case studies) were implemented at end of semester (end of the continuum), when limited time and exposure may have contributed to students lack of interest and perception of relevance and therefore perception of value in the course.
This was further exacerbated by the number of different majors the course serves, because with the limited exposure to these activities came limited time to make meaningful connections to each of the different content areas. On the whole, students may have failed to see the connection or relevance of the course to their own particular academic major. Because the strategies designed to connect the content to students own majors were not introduced until the very end of the semester via simple inquiry and case studies, their duration may not have been enough to effect a change in the students perception of value toward the course and thus their motivation. Because interest, meaning, and relevance are measures of intrinsic motivation (40), the activities used in this manner may thus have failed to generate the requisite interest and perception of value required to promote motivational change.
For the affective component of the motivation scale of the MSLQ, no significant change was detected between the two groups. To explain these results, it may be relevant to consider the behavior of the students enrolled in the course and the links between motivation and achievement. The activities, although resulting in greater achievement gains in students, may not have been able to address students worry and concern over taking exams. Human physiology has a reputation for being a difficult course, not only at the university used in this study but at other universities as well (22). The majority of the students who enroll in this sophomore-level course are upperclassmen who delay taking human physiology until the last possible moment, many waiting until the semester they plan to graduate in. This behavior suggests that students may have an aversion to taking human physiology and as a result may worry excessively over taking exams. This fear and aversion to science courses has been reported in the literature (5254). In fact, Baldwin et al. (5) report that, if a college student thinks he/she does not have the ability to do well in science, then that lack of confidence in his/her ability may lead to a poor attitude toward science. This may, in turn, lead to an avoidance of science courses.
Moreover, new research also suggests that students epistemology, their beliefs about the nature and knowledge of learning, is related to their motivation and that these epistemologies may vary by students academic major. This may explain why no difference in the affective portion of students motivation was found. Paulsen and Feldman (35) determined that students who have naive beliefs about learning and knowledge were more likely to be less motivated and have higher levels of test anxiety3 than were students with more sophisticated beliefs. Students in human physiology often have little science background and come from a variety of majors. They may have viewed the content from a less sophisticated view due to their lack of science background; however, more work needs to be done in this area. Furthermore, even though active-learning strategies did not significantly benefit students motivation, their use did enhance their achievement and self-efficacy. These findings imply that activities should be directed more at making the content more relevant and meaningful in the future, possibly with more duration and frequency.
Self-Efficacy
Active-learning strategies used in this study resulted in an improvement of students self-efficacy, but what exactly is self-efficacy and how does it relate to active learning? Self-efficacy is characterized by ones beliefs about behavioral outcomes, coupled with expectations about ones ability to engage in, execute, persist in, and be successful at a particular behavior (6), in this case science. Because many nonscience majors come to our courses with negative attitudes and low self-efficacy, it is imperative to nurture feelings of confidence from the very beginning. The use of active-learning strategies alone is reported to significantly increase or change students science self-efficacy by promoting a belief in their own ability to do science and be successful in learning about it (3, 17, 50). The strategies in this study were indeed designed to help students gain confidence in and have control over their abilities to learn human physiology and be successful in doing so, but the strategies were also introduced gradually over the course of the semester on the basis of an active-learning continuum. This was to enable students to see the results of their efforts and receive feedback in a relatively risk-free environment and thus help them develop their self-efficacy over the course of the entire semester. Because students were active participants in the learning process, self-efficacy was improved compared with those students who experienced traditional didactic lectures.
What these findings suggest is that self-efficacy and classroom success are linked and that an individuals level of engagement in a task and willingness to persist at the task are indicators of success (35, 41); however, the literature reveals that self-efficacy is also inextricably linked to achievement (34, 37, 38). Thus it is logical to conclude that, if students confidence in their abilities to do science increases, so will their achievement, and in this case it does. For teachers of nonmajors in fact-filled courses where grades are often dismal and achievement low, this should also come as encouragement and a justification for using active learning in the college science classroom.
| IMPLICATIONS FOR PRACTICE |
|---|
|
|
|---|
That said, the results discussed here do not provide conclusive evidence for the wholesale use of active learning in postsecondary science education, but they do contribute to the growing body of knowledge in support of these strategies. As always, replication studies are needed, especially in the social sciences, where progress occurs through the application of many experiments. Unlike the natural sciences, where a cleverly designed experiment can settle a long-standing theoretical controversy, experiments in science education and the whole of the social sciences are dependent on contributions to an entire body of research. Each individual experiment contributes only a piece or pieces to the educational puzzles that challenge us, and although no one study can totally put it all together, progress is still made. Although the teaching of nonscience majors will always remain a challenge, this study has demonstrated that active-learning strategies used on a continuum produce desirable outcomes of instruction, even in the face of the barriers cited by students and faculty. For practitioners in higher science education who take pride in their continual quest for pieces of that puzzle, this study puts them one piece closer to eventual understanding.
| APPENDIX |
|---|
|
|
|---|
Pause procedure.
Based on research on human attention spans, this strategy requires the instructor to stop lecturing every 1318 minutes to allow the students to do something else for a short period of time ranging from one to five minutes. For example, the instructor can ask the students to reflect on or review their notes and then ask for questions. Students can also compare notes with each other to determine whether they should add anything to their own notes on the basis of their review of their neighbors. This strategy is often used in conjunction with the minute papers listed below.
Minute papers.
This strategy has the lecture punctuated with periodic short writing assignments that the students do on their own or with a partner and that typically take "only a minute" to do. The instructor can pose questions, such as what was the most important thing you learned in class, what was confusing about todays lecture, what would you like to know more about, what was the main idea presented today, what are some of the major concepts associated with todays topic, to get students to reflect on and think about what they have learned. The students can write their answers anonymously and work independently, in pairs, or in groups. The instructor collects the minute papers for feedback, or they can serve as the basis for a class discussion. Variations include the main-points paper, which asks students to write what they think are the main points of the lecture, the muddiest-points paper, which asks students to write what they are having trouble comprehending, and running paper, which asks students the same question at different points in the lecture (beginning, middle, and end). All, however, give students a chance to reflect on what they are learning and give those who may be reluctant to ask question in class a chance to get feedback from the instructor without fear of embarrassment.
Think-pair-share activities.
This procedure has two students discuss together for several minutes what they think an appropriate answer is to a question posed by the instructor or another student. The student pairs then write down their answer(s), and the instructor harvests responses from the class. The instructor then goes over the responses with the class as a whole. This procedure allows students to share in the responsibility of an answer and reduces the fear and intimidation students may have in a large class. This procedure can be modified to reflect varying degrees of student interaction and inquiry in the class. It has also been called a "feedback lecture," in which the instructor provides the students with content information before posing a problem or case study to the class as a whole. Students can work alone, in pairs, or in groups in an attempt to use the information they have just received to solve the problem. The students responses are harvested by the instructor and shown to the entire class. A class discussion takes place, with the class and instructor identifying solutions that are not possible with justifications until the optimal answer is identified. The instructor can then give the students more information to further complicate the problem, followed by more student work, and so on throughout the class. The instructor and the students receive feedback about the learning that is occurring and at a time when something can be done quickly to correct misunderstandings.
Classroom assessment techniques,
Angelo and Cross (4) have an excellent resource guide that employs many active-learning strategies to allow students and instructors to get feedback about learning in the classroom in conjunction with specific course objectives. This study employed many of the strategies contained in that reference. For more detailed descriptions please see their text.
Simplified-inquiry sequence.
In this design, students are given an authentic and relatively concrete problem, which they can then solve on their own or in informal groups. They must decide:
They obtain additional information, reflect, reanalyze, and repeat the cycle until the problem is solved. The sequence can be modified as necessary to reflect varying degrees of structure or inquiry (M. D. Svinicki, Center for Teaching Effectiveness, The University of Texas at Austin, used by permission).
Case Study
This is a special type of inquiry method, which consists of a detailed study of a particular situation, scenario, decision, or issue that the students analyze and draw conclusions from. The case study can give students understanding of difficult, complex matters concerning the content.
| Acknowledgments |
|---|
Submitted 15 January 2002; accepted in final form 17 September 2003
Address for reprint requests and other correspondence: R. R. Wilke, Biology Department, Angelo State University, ASU Station, San Angelo, TX 769090890.
| Footnotes |
|---|
-level of P = 0.76.
2 In 2 x 2 factorial designs, there are two treatment levels, the active-learning group and the lecture-only group, and two pretest levels, those that are pretested and those that are not. The factorial analysis discerns whether the active-learning treatment is effective by analyzing the posttest scores while also determining whether there is an interaction between the treatment (active-learning) and control (lecture-only) groups and the pretest. ![]()
3 Although not explicitly addressed by the intervention, test anxiety is known to be inversely related to academic performance as well as motivation (37, 56). ![]()
| References |
|---|
|
|
|---|
This article has been cited by other articles:
![]() |
L. A. Silveira Experimenting with Spirituality: Analyzing The God Gene in a Nonmajors Laboratory Course CBE Life Sci Educ, March 1, 2008; 7(1): 132 - 145. [Abstract] [Full Text] [PDF] |
||||
![]() |
H. Ernst and K. Colthorpe The efficacy of interactive lecturing for students with diverse science backgrounds Advan Physiol Educ, March 1, 2007; 31(1): 41 - 44. [Abstract] [Full Text] [PDF] |
||||
![]() |
P. M. Vanderburgh OPEN-BOOK TESTS AND STUDENT-AUTHORED EXAM QUESTIONS AS USEFUL TOOLS TO INCREASE CRITICAL THINKING Advan Physiol Educ, September 1, 2005; 29(3): 183 - 184. [Full Text] |
||||
|
|